High-speed, low-latency distribution network remote sensing system and method based on 1.4GHz wireless communication

Abstract

This invention relates to the field of wireless distribution network control technology, specifically a high-speed, low-latency distribution network remote sensing system and method based on 1.4GHz wireless communication. The system includes a channel management and allocation module: based on the 1.4GHz frequency band, the module reads channel bandwidth utilization and interference levels, calculates occupancy duration, divides frequency bands, adjusts frequency reuse ratios, allocates transmission frequencies, and optimizes frequency allocation based on bandwidth requirements and transmission rates, generating a channel frequency configuration table. In this invention, by dynamically adjusting the frequency reuse ratio and allocating transmission path frequencies, the utilization rate of spectrum resources is improved, channel overload is reduced, and the efficiency and stability of communication are ensured. By real-time detection of interference signals and spectrum fluctuations, the signal transmission state is optimized, signal interference is avoided, and overall transmission quality is improved. Furthermore, by using Fast Fourier Transform for early analysis of path interference risks, potential transmission interruptions are avoided, ensuring data transmission stability and reducing data loss.

Description

Technical Field

[0001] This invention relates to the field of wireless distribution network control technology, and in particular to a high-speed, low-latency distribution network remote control system and method based on 1.4GHz wireless communication. Background Technology

[0002] The field of wireless power distribution network control technology aims to achieve remote monitoring, telemetry, and remote control of power distribution networks through wireless communication technology. It enables efficient connection between power distribution equipment and control centers without the need for wired connections, allowing for real-time data acquisition, transmission, and remote operation, thereby improving the automation and intelligence level of the power distribution system.

[0003] The purpose of the high-speed, low-latency distribution network telemetry system based on 1.4GHz wireless communication is to improve the operating efficiency and reliability of the distribution network. Through high-speed, low-latency wireless communication, it enables remote monitoring, telemetry, and remote control of power distribution equipment, transmits equipment data in the distribution network in real time, and allows the control center to obtain the grid operating status in a timely manner and carry out effective control and scheduling according to the actual situation.

[0004] Traditional wireless distribution network systems use fixed frequency band allocation for channel management, which cannot dynamically adjust the spectrum. This results in low frequency resource utilization, with some channels being overloaded and others idle, affecting overall communication efficiency. Signal interference and spectrum fluctuations cannot be effectively monitored and regulated in real time in traditional systems, which may lead to data transmission interruptions or increased delays, affecting the system's real-time performance and reliability. In addition, the lack of a caching mechanism can cause data loss during handover, making it impossible to guarantee the integrity and continuity of data transmission. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the existing technology and propose a high-speed, low-latency distribution network remote control system and method based on 1.4GHz wireless communication.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication includes:

[0007] Channel Management and Allocation Module: Based on the 1.4GHz band requirements, read the bandwidth utilization and interference level of each channel, count the occupancy time of each channel, divide the frequency band, adjust the frequency reuse ratio of each channel, allocate transmission path frequencies, optimize the frequency segmentation and allocation structure by combining the actual bandwidth requirements and transmission rates of each channel, and obtain the channel frequency configuration table.

[0008] Multi-path dynamic selection module: Based on the channel frequency configuration table, analyze the channel bandwidth data and stability parameters, compare the transmission performance of each path by reading the path delay and signal strength, calculate the signal attenuation of the path, evaluate feasible paths in conjunction with stability, select multiple priority paths, and make dynamic adjustments to establish a dynamic path preference list.

[0009] Signal monitoring and adjustment module: Based on the dynamic path optimization list, it detects the frequency band occupancy of the path in real time, monitors the interference amplitude and spectrum fluctuation of each path, analyzes the signal anomalies of each path, and adjusts the spectrum configuration of the signal one by one according to the spectrum occupancy to optimize the signal transmission status of the path and obtain the spectrum adjustment configuration.

[0010] Path optimization and switching module: Based on the spectrum adjustment configuration and the dynamic path optimization list, the module uses Fast Fourier Transform to analyze the transmission stability of the current path. By evaluating the interference of each path and historical transmission data, it can predict potential interference risks in advance. By prioritizing the selection of paths with lower interference for rapid switching, it can maintain the stability of data transmission and generate a path switching execution plan.

[0011] Cache management and switching module: Based on the path switching execution scheme, a dual-caching structure is adopted for data synchronization. The main path data is read in real time for caching, and the cached data is called through the backup path. When the main path is interrupted, the system quickly switches to the backup path and uses the cached data to compensate for the lost part and obtain the cached transmission record.

[0012] Layered data transmission module: Based on the cached transmission records, read the transmission status, classify the data streams of each layer by priority, prioritize and schedule important data and process it in layers, and call a multi-threaded mechanism to synchronize high-priority data, delay the processing of secondary data streams, realize parallel transmission, and obtain a layered data transmission structure.

[0013] Bandwidth resource balancing module: Based on the hierarchical data transmission structure and the path switching execution scheme, it monitors the transmission volume of each path in real time, analyzes the current load by reading the path bandwidth usage data, adjusts the bandwidth sharing of each path, and adjusts the frequency band usage ratio through multi-path allocation to form a bandwidth adjustment configuration.

[0014] As a further aspect of the present invention, the channel frequency configuration table also includes an adjusted frequency reuse ratio, a frequency allocation table for transmission paths, and an optimized spectrum segmentation structure; the dynamic path preference list also includes signal attenuation data for each path, stability assessment results, and a priority path selection list; the spectrum adjustment configuration also includes a signal anomaly analysis report and path signal optimization suggestions; the path switching execution scheme also includes potential interference risk prediction and a priority switching path list; the buffered transmission record also includes real-time data synchronization status and data recovery record after switching; the hierarchical data transmission structure also includes a secondary data stream processing scheme and a parallelized transmission process; and the bandwidth adjustment configuration also includes a frequency band occupancy ratio adjustment scheme and a multi-path bandwidth sharing configuration.

[0015] As a further embodiment of the present invention, the channel management and allocation module includes a frequency band demand analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, wherein:

[0016] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, read the current bandwidth utilization of each channel, record the interference level of each channel by detecting the frequency and amplitude of interference signals, analyze the occupancy duration of the channel in a given time period, obtain the frequency band allocation and utilization status, and obtain channel frequency band occupancy analysis data.

[0017] Channel bandwidth optimization submodule: Based on the channel frequency band occupancy analysis data, adjust the frequency reuse ratio for each channel, combine the actual bandwidth occupancy rate of each channel, reconfigure the frequency band segmentation structure by calculating the transmission rate requirement, and redistribute the bandwidth to obtain the frequency band optimization configuration table.

[0018] Frequency path allocation submodule: Based on the frequency band optimization configuration table, allocate transmission path frequencies, confirm the frequency interval between channels through spectrum scanning, dynamically adjust the frequency allocation strategy in combination with channel utilization and bandwidth requirements, and establish a channel frequency configuration table.

[0019] As a further aspect of the present invention, the multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, wherein:

[0020] Channel data analysis submodule: Based on the channel frequency configuration table, analyze the utilization data and stability parameters of each channel bandwidth, identify the transmission characteristics of each path by reading the delay characteristics of the path and measuring the signal strength, and obtain channel transmission stability data;

[0021] Path performance calculation submodule: Based on the channel transmission stability data, compare the transmission signal strength of each path, calculate the signal attenuation and signal distortion, analyze the stability parameters, evaluate the overall transmission quality of the path, and obtain the path signal performance evaluation result.

[0022] Dynamic path adjustment submodule: Based on the path signal performance evaluation results and combined with the stability parameters of each path, the priority path selection strategy is adjusted by real-time monitoring of the path status, and the dynamic characteristics of multiple paths are comprehensively considered to select the best path and establish a dynamic path optimization list.

[0023] As a further aspect of the present invention, the signal monitoring and adjustment module includes a path frequency band monitoring submodule, a signal spectrum adjustment submodule, and a transmission state optimization submodule, wherein:

[0024] Path frequency band monitoring submodule: Based on the dynamic path optimization list, it performs real-time path frequency band detection. By scanning the frequency bands of each path, it reads the current frequency occupancy status and monitors the interference signal amplitude of each path in real time. By comparing the spectrum fluctuations of different time periods, it analyzes the abnormal signal characteristics of each path and obtains the path frequency band anomaly monitoring results.

[0025] Signal spectrum adjustment submodule: Based on the abnormal monitoring results of the path frequency band, the spectrum configuration is adjusted by detecting frequency fluctuations and interference signal changes one by one. The frequency range of each signal is dynamically modified according to the monitored real-time frequency band status, and the overlapping frequency bands are optimized and allocated to generate a spectrum adjustment configuration table.

[0026] Transmission status optimization submodule: Based on the spectrum adjustment configuration table and the dynamic path optimization list, the spectrum configuration is adjusted by evaluating the signal transmission parameters of each path in real time, matching the transmission requirements of the current path, detecting the signal strength and transmission rate of each path, and dynamically optimizing the signal configuration status to obtain the spectrum adjustment configuration.

[0027] As a further aspect of the present invention, the path optimization and switching module includes a transmission stability assessment submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein:

[0028] Transmission stability assessment submodule: Based on the spectrum adjustment configuration and the dynamic path optimization list, the fast Fourier transform is used to analyze the signal transmission performance of the current path. By detecting signal strength, delay and packet loss rate, the interference level of each path is evaluated. Combined with the transmission data at different time points for comprehensive analysis, the path transmission stability assessment result is obtained.

[0029] Interference risk prediction submodule: Based on the path transmission stability assessment results and combined with historical transmission data, the module analyzes the frequency and amplitude fluctuations of interference signals to predict potential interference sources for each path in advance. By performing distribution analysis on the temporal characteristics of interference signals, the module obtains path interference risk prediction results.

[0030] The preferred path switching submodule: Based on the path interference risk prediction results and combined with the current dynamic path preference list, it selects a low-interference path to perform transmission switching, adjusts the selection priority of the transmission path, reconfigures the transmission path allocation strategy, and generates a path switching execution plan.

[0031] As a further aspect of the present invention, the Fast Fourier Transform is performed according to the formula:

[0032]

[0033] in: For the improved frequency domain signal, For time window functions, For time-domain signals, It is the core exponential factor of the Fourier transform. It is the imaginary unit. It is a constant. It is the frequency serial number. It is the sequence number of the sampling point. The number of sampling points. This is the signal strength correction factor. This is the interference correction function.

[0034] As a further aspect of the present invention, the cache management and switching module includes a data cache synchronization submodule, a backup path invocation submodule, and a cache compensation switching submodule, wherein:

[0035] Data caching and synchronization submodule: Based on the path switching execution scheme, it performs real-time reading of the main path data, continuously acquires the transmission data of the main path using the data acquisition module, and writes it into two independent cache areas through a dual-cache structure. It periodically compares the content consistency of the two cache areas to ensure the synchronization integrity of the data and generates real-time cache data records.

[0036] Backup path invocation submodule: Based on the real-time cached data records, by detecting the idle status of the backup path, it periodically reads data fragments from the main cache, transmits them on the backup path, monitors the integrity of the transmitted data and verifies the correctness of the data content, and if an abnormality occurs, it re-invokes the cached data to repair it and obtains the backup cache invocation status.

[0037] Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission interruption is detected, quickly switch to the backup path to continue data transmission, read data segments in the real-time cache, compensate for the data segments lost during the main path interruption one by one, ensure continuous data stream output, and obtain cache transmission records.

[0038] As a further aspect of the present invention, the hierarchical data transmission module includes a data priority classification submodule, a multi-threaded high-priority synchronization submodule, and a secondary data delay submodule, wherein:

[0039] Data Priority Classification Submodule: Based on the cached transmission records, the transmission status of each data stream is read in real time. By analyzing the attributes and content of the data packets, the key data streams are allocated to the high priority layer according to priority. At the same time, the data is classified in a secondary way, and a multi-level priority data structure is formed to obtain a data priority classification table.

[0040] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, high-priority data streams are processed by multiple threads. Each high-priority data packet is synchronized step by step using an independent channel. By allocating independent threads to execute high-priority transmission tasks, the parallel synchronous transmission of key data streams in the high-priority channel is ensured, and the high-priority data synchronization status is obtained.

[0041] Secondary data delay submodule: Based on the high-priority data synchronization state, it performs delay buffering on the secondary data stream, caches the secondary data by configuring the delay processing channel and schedules the transmission at regular intervals, adopts a sequential transmission mechanism to ensure that each secondary data packet is output in order, and performs flow control to match the synchronization state of the high-priority data to obtain a layered data transmission structure.

[0042] As a further aspect of the present invention, the bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, wherein:

[0043] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and the path switching execution scheme, it monitors the transmission volume of each path in real time, continuously records the transmission data volume of each path by collecting the bandwidth utilization rate of each path, compares the real-time load status of each path, identifies load fluctuations and classifies path status, and generates path bandwidth utilization status.

[0044] Bandwidth load adjustment submodule: Based on the bandwidth occupancy status of the path, analyze the load changes path by path, calculate the real-time bandwidth demand of each path, and reallocate resources by dynamically adjusting the bandwidth allocation ratio to reduce the bandwidth occupancy of high-load paths and allocate the adjusted excess bandwidth to low-load paths to obtain the bandwidth load adjustment results.

[0045] Frequency band sharing configuration submodule: Based on the bandwidth load adjustment results, the frequency band allocation of each path is reconfigured through the frequency band adjustment module, the frequency band usage ratio of each path is adjusted, and the frequency band sharing between paths is re-divided to ensure the effective utilization of bandwidth resources and form a bandwidth adjustment configuration.

[0046] The high-speed, low-latency distribution network remote sensing method based on 1.4GHz wireless communication, which is executed based on the aforementioned high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication, includes the following steps:

[0047] Step 1: Based on the 1.4GHz band requirements, perform channel bandwidth utilization statistics, read the interference frequency and amplitude of each channel, analyze the channel occupancy time, divide the frequency band, adjust the frequency reuse ratio of the channel, calculate the frequency allocation of the transmission path, confirm the interval between channels through spectrum scanning, and establish a channel frequency configuration table.

[0048] Step 2: Based on the channel frequency configuration table, analyze the channel bandwidth and stability parameters of each path, read the path delay and signal strength, calculate the signal attenuation of each path, evaluate the transmission quality of each path by comparing the data of each path, and adjust the path selection strategy in combination with dynamic characteristics to form a dynamic path selection list.

[0049] Step 3: Based on the dynamic path optimization list, the frequency band occupancy of each path is detected in real time, the amplitude and spectrum fluctuation of the interference signal of each path are read, the abnormal signal characteristics are identified, and the spectrum configuration of the signal is adjusted one by one by comparing the spectrum changes over multiple time periods. The overlapping frequency bands are optimized and allocated to complete the adjustment of the signal transmission state and generate the spectrum adjustment configuration.

[0050] Step 4: Based on the spectrum adjustment configuration, use signal strength and delay data to analyze the transmission stability of the path, identify interference characteristics by combining historical data, predict potential interference sources in advance by gradually analyzing the frequency and amplitude fluctuations of the signal, select low interference path for transmission in real time, adjust path priority, reconfigure frequency allocation, and generate path switching execution plan.

[0051] Step 5: Based on the path switching execution scheme, read the transmission data of the main path, use a dual-buffer structure to synchronize data in real time, write the transmission content into two buffer areas respectively, compare the consistency of the buffer content periodically, check the idle status of the backup path, and when the main path is interrupted, call the buffer content in the backup path to complete data compensation and obtain the buffer transmission record.

[0052] Step Six: Based on the cached transmission records and combined with the real-time transmission volume of the path, read the bandwidth utilization data of each path, analyze the current load situation, adjust the bandwidth of high-load paths, redistribute the excess bandwidth to low-load paths, optimize the bandwidth allocation ratio of each path, and form a bandwidth adjustment configuration.

[0053] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0054] 1. In this invention, by dynamically adjusting the frequency reuse ratio and allocating transmission path frequencies, the utilization rate of spectrum resources is improved, channel overload is reduced, and the efficiency and stability of communication are ensured.

[0055] 2. In this invention, by analyzing the path delay and signal strength in real time, the signal attenuation of the path is calculated, and the optimal path is dynamically selected based on the stability of transmission performance, so as to ensure the continuity and low latency of data transmission.

[0056] 3. In this invention, by real-time detection of interference signals and spectrum fluctuations, the signal transmission status is optimized, signal interference is avoided, and the overall transmission quality is improved;

[0057] 4. In this invention, the fast Fourier transform is used to analyze the path interference risk in advance, avoid potential transmission interruptions, ensure the stability of data transmission, and reduce data loss. Attached Figure Description

[0058] Figure 1 This is a system flowchart of the present invention;

[0059] Figure 2 This is a schematic diagram of the system framework of the present invention;

[0060] Figure 3 This is a schematic diagram of the method steps of the present invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0062] Example 1

[0063] Please see Figure 1 The present invention provides a technical solution: a high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication includes:

[0064] Channel Management and Allocation Module: Based on the 1.4GHz band requirements, read the bandwidth utilization and interference level of each channel, count the occupancy time of each channel, divide the frequency band, adjust the frequency reuse ratio of each channel, allocate transmission path frequencies, optimize the frequency segmentation and allocation structure by combining the actual bandwidth requirements and transmission rates of each channel, and obtain the channel frequency configuration table.

[0065] Multi-path dynamic selection module: Based on the channel frequency configuration table, it analyzes channel bandwidth data and stability parameters, compares transmission performance path by path by path by reading path delay and signal strength, calculates signal attenuation of path, evaluates feasible paths in conjunction with stability, selects multiple priority paths, and makes dynamic adjustments to establish a dynamic path preference list.

[0066] Signal monitoring and adjustment module: Based on the dynamic path optimization list, it detects the frequency band occupancy of the path in real time, monitors the interference amplitude and spectrum fluctuation of each path, analyzes the signal anomalies of each path, and adjusts the spectrum configuration of the signal one by one according to the spectrum occupancy to optimize the signal transmission status of the path and obtain the spectrum adjustment configuration.

[0067] Path optimization and switching module: Based on spectrum adjustment configuration and dynamic path optimization list, it uses fast Fourier transform to analyze the transmission stability of the current path. By evaluating the interference of each path and historical transmission data, it can identify potential interference risks in advance. By prioritizing the selection of paths with lower interference for fast switching, it can maintain the stability of data transmission and generate a path switching execution plan.

[0068] Cache management and switching module: Based on the path switching execution scheme, a dual-caching structure is adopted for data synchronization. The main path data is read in real time for caching, and the cached data is called through the backup path. When the main path is interrupted, the system quickly switches to the backup path and uses the cached data to compensate for the lost part and obtain the cached transmission record.

[0069] Layered data transmission module: Based on cached transmission records, read transmission status, classify the data streams of each layer by priority, prioritize and process important data in layers, call multi-threading mechanism to synchronize high-priority data, delay the processing of secondary data streams, realize parallel transmission, and obtain layered data transmission structure.

[0070] Bandwidth resource balancing module: Based on the hierarchical data transmission structure and path switching execution scheme, it monitors the transmission volume of each path in real time, analyzes the current load by reading the path bandwidth usage data, adjusts the bandwidth sharing of each path, and adjusts the frequency band usage ratio through multi-path allocation to form a bandwidth adjustment configuration.

[0071] The channel frequency configuration table also includes the adjusted frequency reuse ratio, the frequency allocation table for transmission paths, and the optimized spectrum segmentation structure. The dynamic path optimization list also includes signal attenuation data for each path, stability assessment results, and a priority path selection list. The spectrum adjustment configuration also includes signal anomaly analysis reports and path signal optimization suggestions. The path handover execution scheme also includes potential interference risk prediction and a priority handover path list. The cached transmission record also includes real-time data synchronization status and data recovery records after handover. The hierarchical data transmission structure also includes secondary data stream processing schemes and parallel transmission processes. The bandwidth adjustment configuration also includes frequency band occupancy ratio adjustment schemes and multi-path bandwidth sharing configurations.

[0072] Please see Figure 2 The channel management and allocation module includes a frequency band demand analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, among which:

[0073] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, it reads the current bandwidth utilization of each channel, records the interference level of each channel by detecting the frequency and amplitude of interference signals, analyzes the occupancy duration of the channel within a given time period, obtains the frequency band allocation and utilization status, and obtains channel frequency band occupancy analysis data.

[0074] Channel bandwidth optimization submodule: Based on channel frequency band occupancy analysis data, adjust the frequency reuse ratio for each channel, combine the actual bandwidth occupancy rate of each channel, reconfigure the frequency band segmentation structure by calculating the transmission rate requirement, and redistribute the bandwidth to obtain the frequency band optimization configuration table.

[0075] Frequency path allocation submodule: Based on the frequency band optimization configuration table, it allocates transmission path frequencies, confirms the frequency interval between channels through spectrum scanning, dynamically adjusts the frequency allocation strategy in combination with channel utilization and bandwidth requirements, and establishes a channel frequency configuration table.

[0076] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, it uses spectrum analysis to read the current bandwidth utilization of each channel, analyzes the signal spectrum, obtains frequency components, calculates the main frequency distribution of interference signals in each channel using a sampling rate of 10kHz, detects interference signal frequencies in the range of 1kHz to 5kHz, records the amplitude of each interference signal using amplitude analysis, with the amplitude range set between 0.1 and 10V, analyzes the interference level of each channel in combination with the channel's main frequency bandwidth, and then uses a sliding time window method to perform duration statistics on the channels, with the time window set to 1 second, records the occupancy time of each channel within the time window, and combines the signal frequency and duration data to obtain the frequency band allocation and utilization, generating channel frequency band occupancy analysis data;

[0077] Channel bandwidth optimization submodule: Based on channel frequency band occupancy analysis data, a dynamic frequency reuse algorithm is used to adjust the frequency reuse ratio of each channel. Specifically, according to the actual occupancy time and interference amplitude of each channel, the frequency reuse ratio adjustment parameter is set, with the reuse ratio ranging from 0.1 to 0.9. Combined with the bandwidth occupancy rate of each channel, a frequency segmentation algorithm is used to reconfigure the frequency band structure. The operation includes dividing the bandwidth of each channel, with the frequency band segmentation step size set to 100Hz. The bandwidth is redistributed by calculating the transmission rate requirements of each channel. The transmission rate requirements are set between 10Mbps and 100Mbps according to the equipment data standard. The bandwidth allocation prioritizes and dynamically adjusts the channels with high transmission demand. The configuration is updated based on the adjustment parameters, and a frequency band optimization configuration table is generated.

[0078] Frequency path allocation submodule: Based on the frequency band optimization configuration table, it uses a multi-spectrum scanning method to allocate transmission path frequencies. The operation involves detecting the channel frequency interval through a spectrum scanning function, with the frequency interval detection step size set to 50Hz, and the scanning frequency band range from 1GHz to 1.5GHz. Combining the frequency band utilization data, it uses a Bayesian optimization algorithm to dynamically adjust the frequency allocation strategy, setting the initial frequency allocation range to 100MHz to 300MHz, and combining the path signal strength data to calculate the optimal frequency configuration for each path, generating a channel frequency configuration table.

[0079] Please see Figure 2 The multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, among which:

[0080] Channel data analysis submodule: Based on the channel frequency configuration table, it analyzes the bandwidth utilization data and stability parameters of each channel, identifies the transmission characteristics of each path by reading the delay characteristics of the path and measuring the signal strength, and obtains channel transmission stability data;

[0081] Path performance calculation submodule: Based on channel transmission stability data, it compares the transmission signal strength of each path, calculates the signal attenuation and signal distortion, analyzes stability parameters, evaluates the overall transmission quality of the path, and obtains the path signal performance evaluation results.

[0082] Dynamic Path Adjustment Submodule: Based on the path signal performance evaluation results and combined with the stability parameters of each path, the module adjusts the priority path selection strategy by monitoring the path status in real time, and selects the best path by comprehensively considering the dynamic characteristics of multiple paths, thus establishing a dynamic path preference list.

[0083] Channel data analysis submodule: Based on the channel frequency configuration table, this module uses a data acquisition algorithm to analyze the bandwidth utilization data and stability parameters of each channel. First, it extracts the real-time bandwidth usage data for each channel, setting the bandwidth acquisition frequency to 1Hz. A Kalman filter algorithm is used to filter out noise data, with filtering parameters including the measurement error covariance matrix Q and the estimation error covariance matrix R, set to 0.01 and 0.1 respectively. Then, it reads the path delay characteristics, using a sliding window method with a window size of 5 seconds for delay data acquisition. The module calculates the path signal loss by measuring signal strength, with the signal strength sampling frequency set to 1kHz, recording the signal amplitude variation between 0.1V and 10V. Combining bandwidth and signal data, it identifies the transmission characteristics of each path and generates channel transmission stability data.

[0084] Path performance calculation submodule: Based on channel transmission stability data, signal processing algorithms are used to compare the signal strength of each path path by path, calculate the signal attenuation rate, use the exponential average filtering algorithm to process the strength data, set the filtering parameter α to 0.8, compare the signal amplitude change rate of each path, and then calculate the signal distortion. The distortion calculation adopts the harmonic distortion analysis method, with the analysis frequency range set to 1kHz to 5kHz, and uses the percentage of harmonic components to the total signal amplitude for calculation. Combined with the path stability parameters, the overall transmission quality of each path is evaluated, and path signal performance evaluation results are generated.

[0085] The dynamic path adjustment submodule, based on the path signal performance evaluation results, adopts an adaptive path selection algorithm, combines the stability parameters of each path, adjusts the priority path, monitors the path status in real time, sets the path status refresh interval to 1 second, monitors the signal strength change rate and bandwidth utilization, analyzes the path signal change trend through the Bayesian estimation method of signal strength, adjusts the priority path selection strategy, integrates the dynamic characteristics of multiple paths, compares the signal strength change and transmission delay, performs path optimization operation, and generates a dynamic path preferred list.

[0086] Please see Figure 2 The signal monitoring and conditioning module includes a path frequency band monitoring submodule, a signal spectrum conditioning submodule, and a transmission status optimization submodule, wherein:

[0087] Path frequency band monitoring submodule: Based on the dynamic path optimization list, it performs real-time path frequency band detection. By scanning the frequency bands of each path, it reads the current frequency occupancy status and monitors the interference signal amplitude of each path in real time. By comparing the spectrum fluctuations of different time periods, it analyzes the abnormal signal characteristics of each path and obtains the path frequency band anomaly monitoring results.

[0088] Signal spectrum adjustment submodule: Based on the path frequency band anomaly monitoring results, the spectrum configuration is adjusted by detecting frequency fluctuations and interference signal changes one by one. The frequency range of each signal is dynamically modified according to the monitored real-time frequency band status, and the overlapping frequency bands are optimized and allocated to generate a spectrum adjustment configuration table.

[0089] Transmission status optimization submodule: Based on the spectrum adjustment configuration table and combined with the dynamic path optimization list, it adjusts the spectrum configuration by evaluating the signal transmission parameters of each path in real time, matches the transmission requirements of the current path, detects the signal strength and transmission rate of each path, and dynamically optimizes the signal configuration status to obtain the spectrum adjustment configuration.

[0090] Path Frequency Band Monitoring Submodule: Based on the dynamic path optimization list, a spectrum scanning algorithm is used to detect path frequency bands in real time. Specifically, the spectrum scanning tool reads the current frequency band occupancy status of each path, sets the spectrum scanning frequency to once per second, and the scanning frequency band range to 1GHz to 1.5GHz. By reading the frequency occupancy status of each path and combining it with the historical frequency usage data of the path, the spectrum fluctuations of different time periods are compared. An amplitude analysis algorithm is used to detect the amplitude of signal interference. The amplitude range of the interference signal is set between 0.1V and 10V. Combined with the signal strength of each path, the abnormal signal characteristics are analyzed, and path frequency band anomaly monitoring results are generated.

[0091] Signal spectrum adjustment submodule: Based on the path frequency band anomaly monitoring results, a frequency adaptive adjustment algorithm is adopted to detect the frequency fluctuations and interference signal changes of each signal one by one. The frequency fluctuation detection algorithm is set with a step size of 50Hz. By calculating the change amplitude of the current signal frequency, the signal frequency range is updated in real time. Combined with the detected spectrum status, the overlapping frequency bands are optimized and allocated using a spectrum reuse algorithm. The spectrum reuse ratio set in the allocation algorithm is adjusted to between 0.3 and 0.7 according to the current bandwidth requirements. The frequency reuse ratio of each channel is dynamically updated to generate a spectrum adjustment configuration table.

[0092] Transmission Status Optimization Submodule: Based on the spectrum adjustment configuration table, it adopts a dynamic signal transmission optimization algorithm and combines it with a dynamic path optimization list. It evaluates the signal transmission parameters of each path in real time. The operation includes detecting the signal strength and transmission rate once per second. The signal strength sampling frequency is set to 1kHz, and the transmission rate monitoring range is set to 10Mbps to 100Mbps. According to the current transmission requirements of each path, it dynamically adjusts the signal spectrum configuration, prioritizes the allocation of bandwidth resources for paths with high transmission requirements, and generates a spectrum adjustment configuration.

[0093] Please see Figure 2 The path optimization and switching module includes a transmission stability assessment submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein:

[0094] Transmission stability assessment submodule: Based on spectrum adjustment configuration and dynamic path optimization list, it uses fast Fourier transform to analyze the signal transmission performance of the current path. By detecting signal strength, delay and packet loss rate, it assesses the interference level of each path. Combined with the transmission data at different time points, it obtains the path transmission stability assessment result.

[0095] Interference Risk Prediction Submodule: Based on the path transmission stability assessment results and combined with historical transmission data, the module analyzes the frequency and amplitude fluctuations of interference signals to identify potential interference sources for each path in advance. By performing distribution analysis on the temporal characteristics of interference signals, the module obtains path interference risk prediction results.

[0096] The preferred path switching submodule: Based on the path interference risk prediction results and combined with the current dynamic path preference list, it selects a low-interference path to perform transmission switching, adjusts the selection priority of transmission paths, reconfigures the transmission path allocation strategy, and generates a path switching execution plan.

[0097] Transmission stability assessment submodule: Based on spectrum adjustment configuration and dynamic path optimization list, it uses Fast Fourier Transform algorithm to analyze signal transmission performance. Specifically, it performs frequency domain conversion on the signal data of the current path, sets the sampling frequency to 10kHz, extracts the main frequency component and interference frequency of the signal, analyzes the interference component by comparing the frequency domain amplitude of the signal, then detects the signal strength, sets the amplitude range of the strength detection to 0.1V to 10V, calculates the signal attenuation rate, and reads the transmission delay data. It uses the timestamp difference method to calculate the delay, with the time accuracy of the delay measurement at the millisecond level. It measures the packet loss rate through network monitoring tools, sets the sampling window to 10 seconds, and combines the signal and transmission data at different time points to comprehensively analyze the interference level of the current path and generate the path transmission stability assessment result.

[0098] Interference Risk Prediction Submodule: Based on the path transmission stability assessment results and combined with historical transmission data, a time-series analysis algorithm is used to analyze the frequency and amplitude fluctuations of interference signals. Specifically, the frequency tracking method is used to detect changes in interference signals at different time periods, with the frequency tracking time interval set to 1 second. Amplitude fluctuation detection is performed using the amplitude calculation method, with the detection range of interference amplitude set between 0.1V and 5V. An autoregressive model is used to analyze the temporal characteristics of interference signals, extract the periodicity and trend parameters of signal changes, and combine the distribution characteristics of interference signals to predict potential interference sources for each path in advance, generating path interference risk prediction results.

[0099] The preferred path switching submodule: Based on the path interference risk prediction results and combined with the current dynamic path preference list, a multi-path switching algorithm is used to select a low-interference path for transmission switching. The priority parameter for path selection is set, with the priority setting range from 1 to 10. By monitoring the signal interference intensity and path bandwidth in real time, the priority of transmission path selection is dynamically adjusted. The path allocation strategy is reconfigured in combination with real-time transmission requirements to generate a path switching execution plan.

[0100] Please see Figure 2 Fast Fourier Transform, according to the formula:

[0101]

[0102] in: For the improved frequency domain signal, For time window functions, For time-domain signals, It is the core exponential factor of the Fourier transform. It is the imaginary unit. It is a constant. It is the frequency serial number. It is the sequence number of the sampling point. The number of sampling points. This is the signal strength correction factor. This is the interference correction function;

[0103] Execution process: Input time-domain signal The number of signal samples collected through the transmission path This represents the total number of samples of the time-domain signal, and then at each time step... The corresponding signal samples are obtained through Fourier transform core exponent factor Convert to frequency domain components, for each frequency component Frequency domain analysis, time window function Weights are applied to the signal samples at each time step, and the optimal window is selected to reduce spectral leakage caused by edge effects in the frequency domain signal. Signal strength correction coefficients are also used. Interference correction function used to compensate for signal attenuation during transmission. By adjusting the interference level at each sampling point and time point, the influence of external interference on the signal is dynamically compensated, and the frequency domain signal is calculated. .

[0104] Please see Figure 2 The cache management and switching module includes a data cache synchronization submodule, a backup path invocation submodule, and a cache compensation switching submodule, among which:

[0105] Data caching and synchronization submodule: Based on the path switching execution scheme, it reads the main path data in real time, uses the data acquisition module to continuously acquire the transmission data of the main path, and writes it into two independent cache areas through a dual-cache structure. It compares the content consistency of the two cache areas at regular intervals to ensure the synchronization integrity of the data and generates real-time cache data records.

[0106] Alternate Path Call Submodule: Based on real-time cached data records, by detecting the idle status of the alternate path, it periodically reads data fragments from the main cache, transmits them on the alternate path, monitors the integrity of the transmitted data and verifies the correctness of the data content. If an anomaly occurs, it re-calls the cached data to repair it and obtains the alternate cache call status.

[0107] Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission interruption is detected, it quickly switches to the backup path to continue data transmission, reads data segments in the real-time cache, and compensates for the data segments lost during the main path interruption one by one to ensure continuous data stream output and obtain cache transmission records;

[0108] Data Cache Synchronization Submodule: Based on the path switching execution scheme, the data acquisition module continuously acquires data transmitted on the main path. Specifically, the data acquisition frequency is set to 1 second, and the data is written to two independent cache areas through a dual-cache structure. The writing to the cache areas adopts an asynchronous writing method, and the size of each data segment written is set to 512 bytes. The consistency of the contents of the two cache areas is compared periodically, and a hash verification algorithm is used to check the data consistency. The hash value is generated using the SHA-256 algorithm, and the hash value is compared every 5 seconds. If the hash values ​​of the two cache areas are inconsistent, data repair is performed. The erroneous data in the cache is repaired through a rewrite mechanism, and real-time cache data records are generated.

[0109] The backup path invocation submodule: Based on real-time cached data records, it uses an idle detection algorithm to monitor the status of the backup path. The detection interval is set to 5 seconds. It checks the transmission status of the backup path. If the backup path is idle, it reads a data segment from the main cache for transmission. The size of the data segment is set to 512 bytes. During transmission, the integrity of the transmitted data is checked by a CRC check algorithm. The polynomial of the CRC check is set to the standard CRC-32. Data verification is performed on the backup path. If an abnormality occurs during transmission, it is repaired by re-invoking cached data. The repair operation is performed through a retransmission mechanism. The cached data is read again and retransmitted to obtain the backup cache invocation status.

[0110] The cache compensation switching submodule, based on the backup cache call status, uses a fast switching algorithm to switch to the backup path to continue data transmission when a primary path transmission interruption is detected. The switching delay is set to 100 milliseconds. After the switch is completed, data fragments are read one by one from the real-time cache in a sequential reading mode to compensate for the data lost during the primary path interruption. The data fragment size is set to 512 bytes. During the compensation process, an integrity check is performed every time data is read. A hash check algorithm is used to check the consistency of the data fragments. Finally, a cache transmission record is generated.

[0111] Please see Figure 2 The hierarchical data transmission module includes a data priority classification submodule, a multi-threaded high-priority synchronization submodule, and a secondary data delay submodule, among which:

[0112] Data Priority Classification Submodule: Based on cached transmission records, it reads the transmission status of each data stream in real time, analyzes the attributes and content of data packets, allocates key data streams to high priority layers according to priority, performs secondary classification of data, and forms a multi-level priority data structure to obtain a data priority classification table.

[0113] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, high-priority data streams are processed by multiple threads. Each high-priority data packet is synchronized step by step using an independent channel. By allocating independent threads to execute high-priority transmission tasks, the parallel synchronous transmission of critical data streams in the high-priority channel is ensured, and the high-priority data synchronization status is obtained.

[0114] Secondary data delay submodule: Based on the high-priority data synchronization state, it performs delay buffering on the secondary data stream, caches the secondary data by configuring the delay processing channel and schedules the transmission at regular intervals, adopts a sequential transmission mechanism to ensure that each secondary data packet is output in order, and performs flow control to match the synchronization state of the high-priority data to obtain a layered data transmission structure;

[0115] Data Priority Classification Submodule: Based on cached transmission records, it uses a data stream classification algorithm to read the transmission status of each data stream in real time. First, it analyzes the attributes and content of the data packets, sets the classification criteria for the data packets, parses the content based on the header information of the data packets, sets the priority parameter range to 1 to 10, allocates key data streams according to priority, and uses a priority queue algorithm to allocate data streams with high priority. Key data with priority 7 to 10 is allocated to the high priority layer, while other lower priority data streams are classified in the secondary category and allocated to the secondary layer with priority 1 to 6, generating a multi-level data priority classification table;

[0116] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, a multi-threaded scheduling algorithm is used to process high-priority data streams. Specifically, an independent thread is allocated to each high-priority data packet, and a thread pool mechanism is used to manage the threads. The thread pool size is set to 10, and each thread is allocated one high-priority data packet for transmission. An independent channel is used for synchronous transmission, and the maximum waiting time for the thread is set to 500 milliseconds. The transmission status of each high-priority data packet is gradually synchronized through the thread scheduler, and the execution status of each thread is monitored. The start time and end time of transmission are recorded to obtain the high-priority data synchronization status.

[0117] Secondary data delay submodule: Based on the high-priority data synchronization state, a delay buffer algorithm is used to perform delay processing on the secondary data stream. First, a delay buffer is allocated to the secondary data stream, and the size of the buffer is set to 100MB. A timer is used to set the delay transmission interval to 2 seconds. The delay processing channel is configured, and the secondary data is cached in the channel. The secondary data packets are scheduled in sequence through a sequential transmission mechanism. The transmission rate of the flow controller is set to 10Mbps. The flow control module detects changes in the transmission rate to ensure that the transmission rate of the secondary data stream matches the high-priority data synchronization state, generating a hierarchical data transmission structure.

[0118] Please see Figure 2 The bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, among which:

[0119] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and path switching execution scheme, it monitors the transmission volume of each path in real time. By collecting the bandwidth utilization rate of each path, it continuously records the transmission data volume of each path, compares the real-time load status of each path, identifies load fluctuations, classifies path status, and generates path bandwidth utilization status.

[0120] Bandwidth load adjustment submodule: Based on the path bandwidth occupancy status, analyze the load changes path by path, calculate the real-time bandwidth demand of each path, and reallocate resources by dynamically adjusting the bandwidth allocation ratio to reduce the bandwidth occupancy of high-load paths and allocate the adjusted excess bandwidth to low-load paths to obtain the bandwidth load adjustment results.

[0121] Frequency band sharing configuration submodule: Based on the bandwidth load adjustment results, the frequency band allocation of each path is reconfigured through the frequency band adjustment module, the frequency band usage ratio of each path is adjusted, and the frequency band sharing between paths is redistributed to ensure the effective use of bandwidth resources and form a bandwidth adjustment configuration;

[0122] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and path switching execution scheme, it uses a real-time monitoring algorithm to monitor the transmission volume of each path. Specifically, it uses a bandwidth utilization rate acquisition module to collect the bandwidth utilization rate of each path once per second, with the bandwidth acquisition range set to 10Mbps to 1Gbps. By comparing the bandwidth usage of each path, it records the transmission data volume of each path in real time, with the data volume unit set to MB. The acquisition cycle is set to 1 second. Combined with the load change of the path, it uses a load analysis function to compare the real-time load status of each path. By calculating the instantaneous bandwidth utilization change rate of each path, it identifies path load fluctuations, classifies path status, and generates path bandwidth utilization status.

[0123] The bandwidth load adjustment submodule analyzes load changes path by path based on the path bandwidth occupancy status using a dynamic bandwidth adjustment algorithm. It sets a formula for calculating the bandwidth demand for each path, with input parameters including current bandwidth occupancy, historical bandwidth change trends, and path priority. By gradually comparing current and historical bandwidth occupancy, it calculates the real-time bandwidth demand for each path. The bandwidth adjustment step size is set to 10Mbps. A dynamic allocation function is used to redistribute bandwidth, reducing the occupancy of high-load paths by adjusting bandwidth ratios. A weighted allocation method is used to redistribute surplus bandwidth resources to low-load paths, with the allocation weight determined by path priority and historical load change rate. The result of the bandwidth load adjustment is then obtained.

[0124] Frequency band sharing configuration submodule: Based on the bandwidth load adjustment results, the frequency band adjustment algorithm is used to reconfigure the frequency band allocation of each path through the frequency band adjustment module. First, the current frequency band usage of each path is read, and a frequency band scanning tool is used to scan. The frequency band detection range is set to 1GHz to 3GHz to collect the frequency band occupancy rate. The frequency band allocation step size is set to 50MHz. The frequency band usage ratio is adjusted through the frequency allocation function. The frequency band reuse strategy is used to redistribute the frequency band sharing ratio between paths, giving priority to allocating more frequency band resources to low-load paths, and generating a bandwidth adjustment configuration.

[0125] Please see Figure 3 The high-speed, low-latency remote sensing method for distribution networks based on 1.4GHz wireless communication includes the following steps:

[0126] Step 1: Based on the 1.4GHz band requirements, perform channel bandwidth utilization statistics, read the interference frequency and amplitude of each channel, analyze the channel occupancy time, divide the frequency band, adjust the frequency reuse ratio of the channel, calculate the frequency allocation of the transmission path, confirm the interval between channels through spectrum scanning, and establish a channel frequency configuration table.

[0127] Step 2: Based on the channel frequency configuration table, analyze the channel bandwidth and stability parameters of each path, read the path delay and signal strength, calculate the signal attenuation of each path, evaluate the transmission quality of each path by comparing the data of each path, and adjust the path selection strategy in combination with dynamic characteristics to form a dynamic path selection list.

[0128] Step 3: Based on the dynamic path optimization list, the frequency band occupancy of each path is detected in real time, the amplitude and spectrum fluctuation of the interference signal of each path are read, the abnormal signal characteristics are identified, and the spectrum configuration of the signal is adjusted one by one by comparing the spectrum changes over multiple time periods. The overlapping frequency bands are optimized and allocated to complete the adjustment of the signal transmission status and generate the spectrum adjustment configuration.

[0129] Step 4: Based on the spectrum adjustment configuration, use signal strength and delay data to analyze the transmission stability of the path, identify interference characteristics by combining historical data, predict potential interference sources in advance by gradually analyzing the frequency and amplitude fluctuations of the signal, select low interference paths for transmission in real time, adjust path priorities, reconfigure frequency allocation, and generate a path switching execution plan.

[0130] Step 5: Based on the path switching execution scheme, read the transmission data of the main path, use a dual-buffer structure to synchronize data in real time, write the transmission content into two buffers respectively, compare the consistency of the buffer content periodically, check the idle status of the backup path, and when the main path is interrupted, call the buffer content in the backup path to complete data compensation and obtain the buffer transmission record.

[0131] Step Six: Based on the cached transmission records and combined with the real-time transmission volume of the path, read the bandwidth utilization data of each path, analyze the current load situation, adjust the bandwidth of high-load paths, redistribute the excess bandwidth to low-load paths, optimize the bandwidth allocation ratio of each path, and form a bandwidth adjustment configuration.

[0132] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication, characterized in that: The system includes: Channel Management and Allocation Module: Based on the 1.4GHz band requirements, it reads the bandwidth utilization and interference level of each channel, counts the channel occupancy time, divides the frequency band and adjusts the frequency reuse ratio of the channel, allocates the transmission path frequency, optimizes the frequency allocation by combining bandwidth requirements and transmission rate, and generates a channel frequency configuration table. Multi-path dynamic selection module: Based on the channel frequency configuration table, analyze the channel bandwidth data and stability parameters, read the path delay and signal strength, compare the transmission performance, calculate the signal attenuation, combine the stability assessment of feasible paths, select multiple priority paths, and establish a dynamic path preference list. Signal monitoring and adjustment module: Based on the dynamic path optimization list, it detects path frequency band occupancy in real time, monitors interference amplitude and spectrum fluctuations, analyzes signal anomalies, adjusts spectrum configuration, optimizes transmission status, and generates spectrum adjustment configuration; Path optimization and switching module: Based on the spectrum adjustment configuration and the dynamic path optimization list, it uses Fast Fourier Transform to analyze transmission stability, assess interference risk, select low-interference path switching, and generate a path switching execution plan; Cache management and switching module: Based on the path switching execution scheme, it adopts a dual-cache structure to synchronize data, reads the main path cache, calls the backup path data, quickly switches to the backup path when the main path is interrupted, compensates for lost data, and obtains cache transmission records; Layered data transmission module: Based on the cached transmission records, it classifies data stream priorities, prioritizes important data, synchronizes high-priority data through multiple threads, delays the processing of secondary data, and achieves parallel transmission to obtain a layered data transmission structure; Bandwidth resource balancing module: Based on the hierarchical data transmission structure and the path switching execution scheme, it monitors the path transmission volume, reads the bandwidth usage data, analyzes the load, adjusts bandwidth sharing, adjusts the frequency band usage ratio, and forms a bandwidth adjustment configuration.

2. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The channel management and allocation module includes a frequency band demand analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, wherein: Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, read the current bandwidth utilization of each channel, detect the frequency and amplitude of interference signals, record the interference level of each channel, analyze the channel occupancy time, obtain the frequency band allocation and utilization status, and obtain channel frequency band occupancy analysis data. Channel bandwidth optimization submodule: Based on the channel frequency band occupancy analysis data, adjust the frequency reuse ratio for each channel, calculate the transmission rate requirement in combination with the bandwidth occupancy rate, reconfigure the frequency band segmentation structure, perform bandwidth allocation, and obtain the frequency band optimization configuration table. Frequency path allocation submodule: Based on the frequency band optimization configuration table, allocate transmission path frequencies, scan and confirm the frequency intervals between channels, dynamically adjust the frequency allocation strategy in combination with channel utilization and bandwidth requirements, and establish a channel frequency configuration table.

3. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, wherein: Channel data analysis submodule: Based on the channel frequency configuration table, analyze the bandwidth utilization data and stability parameters of each channel, identify the transmission characteristics of each path by reading path delay characteristics and measuring signal strength, and obtain channel transmission stability data; Path performance calculation submodule: Based on the channel transmission stability data, compare the transmission signal strength of each path, calculate the signal attenuation and distortion, analyze stability parameters, evaluate the overall transmission quality of the path, and obtain the path signal performance evaluation result; Dynamic path adjustment submodule: Based on the path signal performance evaluation results and combined with the stability parameters of each path, the priority path selection strategy is adjusted by real-time monitoring of the path status, and the optimal path is selected by comprehensively considering the dynamic characteristics of multiple paths, thus establishing a dynamic path optimization list.

4. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The signal monitoring and adjustment module includes a path frequency band monitoring submodule, a signal spectrum adjustment submodule, and a transmission status optimization submodule, wherein: Path frequency band monitoring submodule: Based on the dynamic path optimization list, it performs real-time detection of path frequency bands, scans each path frequency band, reads the current frequency occupancy, monitors the interference signal amplitude of each path, compares the spectrum fluctuations at different time periods, analyzes the abnormal signal characteristics, and obtains the path frequency band anomaly monitoring results. Signal spectrum adjustment submodule: Based on the abnormal monitoring results of the path frequency band, it detects frequency fluctuations and changes in interference signals one by one, adjusts the spectrum configuration, dynamically modifies the signal frequency range according to the real-time frequency band status, optimizes the allocation of overlapping frequency bands, and generates a spectrum adjustment configuration table; Transmission status optimization submodule: Based on the spectrum adjustment configuration table and the dynamic path optimization list, it evaluates the signal transmission parameters of each path in real time, adjusts the spectrum configuration, detects signal strength and transmission rate, and dynamically optimizes the signal configuration status to obtain the spectrum adjustment configuration.

5. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The path optimization and switching module includes a transmission stability assessment submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein: Transmission stability assessment submodule: Based on the spectrum adjustment configuration and the dynamic path optimization list, the signal transmission performance of the current path is analyzed using fast Fourier transform. By detecting signal strength, delay and packet loss rate, the interference level is evaluated. Combined with the transmission data at different time points, the path transmission stability assessment result is obtained. Interference risk prediction submodule: Based on the path transmission stability assessment results and combined with historical transmission data, analyze the frequency and amplitude fluctuations of interference signals, identify potential interference sources in advance, perform distribution analysis on the temporal characteristics of interference signals, and obtain path interference risk prediction results. The preferred path switching submodule: Based on the path interference risk prediction results and combined with the current dynamic path preference list, it selects a low-interference path to perform transmission switching, adjusts the path selection priority, reconfigures the transmission path allocation strategy, and generates a path switching execution plan.

6. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The Fast Fourier Transform is performed according to the formula: in: For the improved frequency domain signal, For time window functions, For time-domain signals, It is the core exponential factor of the Fourier transform. It is the imaginary unit. It is a constant. It is the frequency serial number. It is the sequence number of the sampling point. The number of sampling points. This is the signal strength correction factor. This is the interference correction function.

7. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The cache management and switching module includes a data cache synchronization submodule, a backup path invocation submodule, and a cache compensation switching submodule, wherein: Data caching synchronization submodule: Based on the path switching execution scheme, it reads the main path data in real time, continuously acquires the transmitted data using the data acquisition module, and writes it into two independent cache areas through a dual-cache structure. It periodically compares the consistency of the cache area contents to ensure the integrity of data synchronization and generates real-time cache data records. Backup path invocation submodule: Based on the real-time cached data records, detect the idle status of the backup path, periodically read data fragments from the main cache, transmit them on the backup path, monitor data integrity and verify correctness, and if an anomaly occurs, re-invoke the cached data to repair it and obtain the backup cache invocation status; Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission is interrupted, quickly switch to the backup path, read the data fragments in the real-time cache, compensate for the data lost during the main path interruption one by one, ensure the continuity of data stream output, and obtain the cache transmission record.

8. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The hierarchical data transmission module includes a data priority classification submodule, a multi-threaded high-priority synchronization submodule, and a secondary data delay submodule, wherein: Data Priority Classification Submodule: Based on the cached transmission records, read the transmission status of each data stream in real time, analyze the attributes and content of data packets, allocate key data streams to high priority layers according to priority, and perform secondary classification to form a multi-level priority data structure and obtain a data priority classification table; Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, high-priority data streams are processed by multiple threads, high-priority data packets are synchronized using an independent channel, and an independent thread is allocated to execute high-priority transmission tasks to obtain the high-priority data synchronization status; Secondary data delay submodule: Based on the high-quality data synchronization state, it performs delay buffering on the secondary data stream, configures the delay processing channel to cache the secondary data and schedules its transmission at regular intervals, adopts a sequential transmission mechanism to ensure that the secondary data packets are output in order, performs flow control, and obtains a layered data transmission structure.

9. The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to claim 1, characterized in that, The bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, wherein: Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and the path switching execution scheme, it monitors the transmission volume of each path in real time, collects the bandwidth utilization rate, records the transmission data volume of each path, compares the real-time load status, identifies load fluctuations and classifies path status, and generates path bandwidth utilization status. Bandwidth load adjustment submodule: Based on the bandwidth occupancy status of the path, analyze the load changes path by path, calculate the real-time bandwidth demand, dynamically adjust the bandwidth allocation ratio, reallocate resources, reduce the bandwidth occupancy of high-load paths, and allocate excess bandwidth to low-load paths to obtain the bandwidth load adjustment results. Frequency band sharing configuration submodule: Based on the bandwidth load adjustment results, the frequency band allocation of each path is reconfigured through the frequency band adjustment module, the frequency band usage ratio is adjusted, and the frequency band sharing between paths is re-divided to ensure the effective use of bandwidth resources and form a bandwidth adjustment configuration.

10. A high-speed, low-latency remote sensing method for distribution networks based on 1.4GHz wireless communication, characterized in that: The high-speed, low-latency distribution network remote sensing system based on 1.4GHz wireless communication according to any one of claims 1-9 includes the following steps: Step 1: Based on the 1.4GHz band requirements, calculate the channel bandwidth utilization rate, read the interference frequency and amplitude of each channel, analyze the occupancy time, divide the frequency band, adjust the frequency reuse ratio of the channel, calculate the path frequency allocation, scan and confirm the channel interval, and establish a channel frequency configuration table. Step 2: Based on the channel frequency configuration table, analyze the path bandwidth and stability parameters, read the delay and signal strength, calculate the signal attenuation, evaluate the transmission quality, and adjust the path optimization strategy in combination with dynamic characteristics to form a dynamic path optimization list; Step 3: Based on the dynamic path optimization list, detect frequency band occupancy in real time, read interference amplitude and spectrum fluctuation, identify abnormal signal characteristics, compare spectrum changes over multiple time periods to adjust the configuration one by one, optimize the allocation of overlapping frequency bands, and generate spectrum adjustment configuration; Step 4: Based on the spectrum adjustment configuration, analyze signal strength and delay data, identify interference characteristics, predict potential interference sources, select low-interference paths for transmission in real time, adjust priorities, reconfigure frequency allocation, and generate a path switching execution plan. Step 5: Based on the path switching execution scheme, read the main path data, use a dual-buffer structure to synchronize the data in real time, write it to two buffer areas, compare the consistency, check the status of the backup path, call the backup path to complete data compensation when the main path is interrupted, and obtain the cache transmission record. Step Six: Based on the cached transmission records and combined with the real-time transmission volume of the path, read the bandwidth utilization rate, analyze the load situation, adjust the bandwidth of high-load paths, allocate excess bandwidth to low-load paths, optimize the bandwidth allocation ratio, and form a bandwidth adjustment configuration.

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